Hey everyone, thank you so much for watching the 95th Weaviate Podcast! We are beyond honored to feature Dai Vu from Google on this one, alongside Weaviate Co-Founder Bob van Luijt! This podcast dives into all things Google Cloud Marketplace and the state of AI. Beginning with the proliferation of Open-Source models and how Dai sees the evolving landscape with respect to things like Gemini Pro 1.5, Gemini Nano and Gemma, as well as the integration of 3rd party model providers such as Llama 3 on ...
May 07, 2024•41 min
As you are graduating from ideas to engineering, one of the key concepts to be aware of is Parallel Computing and Concurrency. I am SUPER excited to share our 94th Weaviate podcast with Magdalen Dobson Manohar! Magdalen is one of the most impressive scientists I have ever met, having completed her undergraduate studies at MIT before joining Carnegie Mellon University to study Approximate Nearest Neighbor Search and develop ParlayANN. ParlayANN is one of the most enlightening works I have come ac...
Apr 24, 2024•1 hr 4 min
Hey everyone! I am SUPER excited to publish our newest Weaviate podcast with Kyle Davis, the creator of RAGKit! At a high-level, the podcast covers our understanding of RAG systems through 4 key areas: (1) Ingest / ETL, (2) Search, (3) Generate / Agents, and (4) Evaluation. Discussing these lead to all sorts of topics from Knowledge Graph RAG, to Function Calling and Tool Selection, Re-ranking, Quantization, and many more! This discussion forced me to re-think many of my previously held beliefs ...
Apr 15, 2024•1 hr 27 min
I've seen a lot of interest around RAG for X application domain, Legal, Accounting, Healthcare, .... David and Kevin are maybe the best example of this I have seen so far, pivoting from Neum AI to VetRec! We begin the podcast by discussing the decision to switch gears, the advice given by Y Combinator, and David's experience in learning a new application domain. We then continue to discuss technical opportunities around RAG for Veterinarians, such as SOAP notes and Differential Diagnosis! We con...
Mar 28, 2024•1 hr
Voyage AI is the newest giant in the embedding, reranking, and search model game! I am SUPER excited to publish our latest Weaviate podcast with Tengyu Ma, Co-Founder of Voyage AI and Assistant Professor at Stanford University! We began the podcast with a deep dive into everything embedding model training and contrastive learning theory. Tengyu delivered a masterclass in everything from scaling laws to multi-vector representations, neural architectures, representation collapse, data augmentation...
Mar 20, 2024•1 hr 3 min
One of the core values of DSPy is the ability to add “reasoning modules” such as Chain-of-Thought to your LLM programs! For example, Chain-of-Thought describes prompting the LLM with “Let’s think step by step …”. Interestingly, this meta-prompt around asking the LLM to think this way dramatically improves performance in tasks like question answering or document summarization. Self-Discover is a meta-prompting technique that searches for the optimal thinking primitives to integrate into your prog...
Mar 06, 2024•1 hr 3 min
Hey everyone! Thank you so much for watching the 89th Weaviate Podcast on Matryoshka Representation Learning! I am beyond grateful to be joined by the lead author of Matryoshka Representation Learning, Aditya Kusupati, Zach Nussbaum, a Machine Learning Engineer at Nomic AI bringing these embeddings to production, and my Weaviate colleague, Zain Hasan, who has done amazing research on Matryoshka Embeddings! We think this is a super powerful development for Vector Search! This podcast covers all s...
Feb 20, 2024•1 hr 12 min
Jason Liu is the creator of Instructor, one of the world's leading LLM frameworks, particularly focused on structured output parsing with LLMs, or as Jason puts it "making LLMs more backwards compatible". It is hard to understand the impact of Instructor, this is truly leading us to the next era of LLM programming. It was such an honor chatting with Jason, his experience currently as an independent consultant and previously engineering at StitchFix and Meta makes him truly one of the most unique...
Feb 14, 2024•56 min
Hey everyone! Thank you so much for watching the 87th episode of the Weaviate Podcast! I am SUPER excited to welcome Karel D'Oosterlinck! Karel is the creator of IReRa (Infer-Retrieve-Rank)! IReRa is one of the most impressive systems that have been built for Extreme Multi-Label Classification, leveraging the emerging paradigm of DSPy compilation! This podcast dives into all things IReRa, XMC, DSPy compilation, and applications in Biomedical NLP and Recommendation! I hope you find this useful!...
Feb 06, 2024•1 hr 9 min
Hey everyone! We are super excited to publish this podcast with Vinod Valloppillil and Bob van Luijt on Open-Source AI and future directions for RAG! The podcast begins by discussing Vinod's "Halloween Documents", a series of internal strategy writings at Microsoft related to the open-source software movement! The conversation continues to discuss the current state of Open-Source in AI. One of the major points Bob has been making about the business of AI models is that the models themselves are ...
Jan 23, 2024•55 min
Hey everyone! I am beyond excited to present our interview with Omar Khattab from Stanford University! Omar is one of the world's leading scientists on AI and NLP. I highly recommend you check out Omar's remarkable list of publications linked below! This interview completely transformed my understanding of building RAG and LLM applications! I believe that DSPy will be one of the most impactful software project in LLM development because of the abstractions around *program optimization*. Here is ...
Jan 15, 2024•31 min
Hey everyone! Thank you so much for watching the fourth and final episode of the AI-Native Database series with Dan Shipper! This was another epic one! Dan has had an absolutely remarkable career creating and selling a company and now co-founding and working as the CEO of Every! Every is an incredibly future-looking business focused on content online, both with an amazing newsletter, community of writers and thinkers, an AI-note taking app, and more! I think Dan brings a very unique perspective ...
Dec 21, 2023•42 min
Hey everyone! Thank you so much for watching the 3rd episode of the AI-Native Database series featuring John Maeda and Bob van Luijt! This one dives into how humans perceive AI, from Anthroaormorphization to Doomsday scenario thinking and how important understanding how AI actually work is to the engineering of these systems. Bob and John discuss the evolution of the design in tech report, 3 categories of design, and many others! I hope you enjoy the podcast! As always, we are more than happy to...
Dec 20, 2023•40 min
Hey everyone! Thank you so much for watching the second episode of AI-Native Databases with Paul Groth! This was another epic one, diving deep into the role of structure in our data! Beginning with Knowledge Graphs and LLMs, there are two perspectives: LLMs for Knowledge Graphs (using LLMs to extract relationships or predict missing links) and then Knowledge Graph for LLMs (to provide factual information in RAG). There is another intersection that sits in the middle of both LLMs for KGs and KGs ...
Dec 19, 2023•45 min
Hey everyone! Thank you so much for watching the first episode of AI-Native Databases with Andy Pavlo! This was an epic one! We began by explaining the "Self-Driving Database" and all the opportunities to optimize DBs with AI and ML at both the low-level, as well as how we query and interact with them. We also discussed new opportunities with DBs + LLMs, such as bringing the data to the model (such as ROME, MEMIT, GRACE), in addition to bringing the model to the data (such as RAG). We also discu...
Dec 18, 2023•1 hr 15 min
Hey everyone! Thank you so much for watching the Weaviate 1.23 Release Podcast with Weaviate Co-Founder and CTO Etienne Dilocker! Weaviate 1.23 is a massive step forward for managing multi-tenancy with vector databases. For most RAG and Vector DB applications, you will have an uneven distribution in the # of vectors per user. Some users have 10k docs, others 10M+! Weaviate now offers a flat index with binary quantization to efficiently balance when you need an HNSW graph for the 10M doc users an...
Dec 14, 2023•55 min
Hey everyone! Thank you so much for watching the 78th episode of the Weaviate podcast featuring Rudy Lai, the founder and CEO of Tactic Generate! Tactic Generate has developed a user experience around applying LLMs in parallel to multiple documents, or even folders / collections / databases. Rudy discussed the user research that lead the company to this direction and how he sees the opportunities in building AI products with new LLM and Vector Database technologies! I hope you enjoy the podcast,...
Nov 29, 2023•56 min
Hey everyone, thank you so much for watching the 77th Weaviate Podcast on RAGAS, featuring Jithin James, Shahul ES, and Erika Cardenas! RAGAS is one of the hottest rising startups in Retrieval-Augmented Generation! RAGAS began it's journey with the RAGAS score, a matrix of evaluations for generation and retrieval. Generation evaluated on Faithfulness (is the response grounded in the context) as well as Relevancy (is the response useful). Retrieval is then evaluated on Precision (How many of the ...
Nov 20, 2023•50 min
Hey everyone, I am SUPER excited to present our 76th Weaviate Podcast featuring Patrick Lewis, an NLP Research Scientist at Cohere! Patrick has had an absolutely massive impact on Natural Language Processing with AI and Deep Learning! Especially notable for the current climate in AI and Weaviate is that Patrick is the lead author of the original "Retrieval-Augmented Generation" paper!! Patrick has contributed to many other profoundly impactful papers in the space as well such as DPR, Atlas, Task...
Nov 14, 2023•59 min
Hey everyone! Thank you so much for watching the 75th Weaviate Podcast featuring Tanmay Chopra! The podcast details Tanmay's incredible career in Machine Learning from Tik Tok to Neeva and now building his own startup, Emissary! Tanmay shared some amazing insights into Search AI such as how to process Temporal Queries, how to think about diversity in Retrieval, and Query Recommendation products! We then dove into the opportunity Tanmay sees in fine-tuning LLMs and knowledge distillation that mot...
Nov 08, 2023•50 min
Hey everyone! Thank you so much for watching the 74th Weaviate Podcast feature Simba Khadder, the CEO and Co-Founder of FeatureForm! To begin, "features" broadly describe the inputs to machine learning models that they use to produce outputs, or predictions. Feature stores orchestrate the construction of features, whether that be transformations for tabular machine learning models such as XGBoost, to chunking for vector embedding inference, and now features for LLM inference in RAG. Right out of...
Nov 07, 2023•57 min
Hey everyone! I am SUPER excited to publish our 73rd Weaviate Podcast with Charles Packer, the lead author of MemGPT at UC Berkeley! MemGPT presents the "Operating System for LLMs", an incredibly exciting idea to explicitly prompt the LLM with the information that it has a limited context window and give it memory management tools to behave accordingly! This was such a fun discussion with Charles diving into all things related to the paper! I hope you enjoy the podcast!! Check out MemGPT here! h...
Nov 06, 2023•52 min
Hey everyone! Thank you so much for watching the 72nd episode of the Weaviate Podcast with Madelon Hulsebos!! Madelon is one of the world's experts on Machine Learning with Tables and Tabular-Structured Data, this was such an eye-opening conversation! We discussed all sorts of topics from the relationship of tabular data and embeddings, to searching through tables, semantic joins, more complex Text-to-SQL, using machine learning for query execution, using tabular data in search and recommendatio...
Nov 01, 2023•50 min
Hey everyone! Thank you so much for watching the 71st Weaviate Podcast with Vibs Abhishek! Vibs is the CEO and Founder of Alltius AI, as well as a professor at UC Irvine business school! In order to tame the somewhat chaotic emerging landscape of RAG and LLM applications, Alltius has settled on 3 core pillars of Knowledge, Skills, and Deployment Channels! Vibs further explained how he sees the distinction between Assistants and Agents and many more topics important to Enterprise deployment of RA...
Oct 26, 2023•56 min
Thank you so much for watching our paper summary video on MemGPT! MemGPT is a super exciting new work bridging together concepts in how Operating Systems manage memory and LLMs! Links: Paper: https://arxiv.org/pdf/2310.08560.pdf Andrej Karpathy on Operating Systems and LLMs: https://twitter.com/karpathy/status/1707437820045062561 Run LLM Podcast with Charles Packer: https://www.youtube.com/watch?v=4aOLxPdx1Dg SciPhi: https://github.com/SciPhi-AI/sciphi/tree/main Our perspectives on Database Agen...
Oct 24, 2023•31 min
Hey everyone! Thank you so much for watching the 70th episode of the Weaviate podcast with Neum AI CTO and Co-Founder Kevin Cohen! I first met Kevin when he was debugging an issue with his distributed node utilization and have since learned so much from him about how he sees the space of Data Ingestion, also commonly referenced as ETL for LLMs! There are so many interesting parts to this from the general flow of data connectors, chunkers and metadata extractors, embedding inference, and the last...
Oct 18, 2023•55 min
Hey everyone! Thank you so much for watching the 69th episode of the Weaviate Podcast featuring Charles Pierse from Tactic! Tactic has recently launched their new Tactic Generate project, an incredible UI for conducting research across multiple documents. I think there is a massive opportunity to pair these prompts and LLM workflows with User Interfaces and take more of a holistic User Experience perspective. Tactic Generate has done an incredible job of that, please take a look from the link be...
Oct 04, 2023•1 hr 9 min
Hey everyone! Thank you so much for watching the 68th episode of the Weaviate Podcast! We are super excited to welcome Morgan McGuire, Darek Kleczek, and Thomas Capelle! This was such a fun discussion beginning with generally how see the space of fine-tuning from why you would want to do it, to the available tooling, intersection with RAG and more! Check out W&B Prompts! https://wandb.ai/site/prompts Check out the W&B Tiny Llama Report! https://wandb.ai/capecape/llamac/reports/Training-T...
Sep 20, 2023•52 min
Hey everyone! Thank you so much for watching the 67th Weaviate Podcast, announcing Weaviate on the AWS Marketplace! This was one of my favorite podcasts to date with a deep dive on the details of running RAG applications in the cloud, our general understanding of LLM Fine-Tuning and RAG, as well as a really interesting discussion on VPCs and Hybrid SaaS! I hope you find the podcast useful, as always we are more than happy to answer any questions or discuss any ideas you have about the content pr...
Sep 13, 2023•1 hr 1 min
Hey everyone! Here is a clip from our newest Weaviate podcast with Farshad Farahbakhshian, Gen AI specialist at AWS and Etienne Dilocker, CTO and Co-Founder of Weaviate! This podcast announces Weaviate on the AWS marketplace and is packed with info on running Weaviate in the cloud such as this clip explaining how Hybrid SaaS works! I hope you find the clip useful, we are more than happy to answer any questions you have about the content in this clip! Chapters 0:00 Quick Intro for Context 0:29 Et...
Sep 12, 2023•4 min
